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Nutritional Strategies in the Rehabilitation of Musculoskeletal Injuries in Athletes: A Systematic Integrative Review
Abstract
It is estimated that three to five million sports injuries occur worldwide each year. The highest incidence is reported during competition periods with mainly affectation of the musculoskeletal tissue. For appropriate nutritional management and correct use of nutritional supplements, it is important to individualize based on clinical effects and know the adaptive response during the rehabilitation phase after a sports injury in athletes. Therefore, the aim of this PRISMA in Exercise, Rehabilitation, Sport Medicine and Sports Science PERSiST-based systematic integrative review was to perform an update on nutritional strategies during the rehabilitation phase of musculoskeletal injuries in elite athletes. After searching the following databases: PubMed/Medline, Scopus, PEDro, and Google Scholar, a total of 18 studies met the inclusion criteria (Price Index: 66.6%). The risk of bias assessment for randomized controlled trials was performed using the RoB 2.0 tool while review articles were evaluated using the AMSTAR 2.0 items. Based on the main findings of the selected studies, nutritional strategies that benefit the rehabilitation process in injured athletes include balanced energy intake, and a high-protein and carbohydrate-rich diet. Supportive supervision should be provided to avoid low energy availability. The potential of supplementation with collagen, creatine monohydrate, omega-3 (fish oils), and vitamin D requires further research although the effects are quite promising. It is worth noting the lack of clinical research in injured athletes and the higher number of reviews in the last 10 years. After analyzing the current quantitative and non-quantitative evidence, we encourage researchers to conduct further clinical research studies evaluating doses of the discussed nutrients during the rehabilitation process to confirm findings, but also follow international guidelines at the time to review scientific literature.
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“These increased demands persist despite lower levels of physical activity and vary depending on the severity of the injury, the complexity of surgery, and duration of immobilisation [36,60,61].”
From Youth and Adolescent Athlete Musculoskeletal Health: Dietary and Nutritional Strategies to Optimise Injury Prevention and Support Recovery (2024) · cites this paper as [60]
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“Adhering to dietary guidelines such as the Australian Guide to Healthy Eating (AGHE) [60] or the American dietary guidelines [84] can help to ensure that young athletes consume adequate nutrients to support injury recovery and long-term musculoskeletal health without relying on unnecessary supplementation [85].”
From Youth and Adolescent Athlete Musculoskeletal Health: Dietary and Nutritional Strategies to Optimise Injury Prevention and Support Recovery (2024) · cites this paper as [60]
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Cited by
Alcock, R., Hislop, M., Vidgen, H. A., & Desbrow, B. (2024) · Journal of Functional Morphology and Kinesiology · doi:10.3390/jfmk9040221 · Cited by 33
Metadata
- Authors
- Giraldo-Vallejo, J. E., Cardona-Guzmán, M. Á., Rodríguez-Alcivar, E. J., Kočí, J., Petro, J. L., Kreider, R. B., Cannataro, R., & Bonilla, D. A.
- Venue
- Nutrients
- Publisher
- MDPI AG
- Published
- 2023-02-05
- Volume
- 15
- Issue
- 4
- Pages
- 819
- ISSN
- 2072-6643
- Cited by
- 55
- References
- 36
- Language
- en
- Funders
- Galascreen Laboratories, Research Division at DBSS International SAS, and CESNUTRAL (Acta0037Proy151TG)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.